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        "description": "[![Build Status](https://travis-ci.org/pytroll/pyresample.svg?branch=master)](https://travis-ci.org/pytroll/pyresample)\n[![Build status](https://ci.appveyor.com/api/projects/status/a34o4utf8dqjsob1/branch/master?svg=true)](https://ci.appveyor.com/project/pytroll/pyresample/branch/master)\n[![codebeat badge](https://codebeat.co/badges/2b9f14bc-758c-4fe1-967d-85b11e934983)](https://codebeat.co/projects/github-com-pytroll-pyresample-master)\n\nPyresample\n----------\n\nPyresample is a python package for resampling geospatial image data. It is the\nprimary method for resampling in the [SatPy](https://github.com/pytroll/satpy)\nlibrary, but can also be used as a standalone library. Resampling or\nreprojection is the process of mapping input geolocated data points to a\nnew target geographic projection and area.\n\nPyresample can operate on both fixed grids of data and geolocated swath data.\nTo describe these data Pyresample uses various \"geometry\" objects including\nthe `AreaDefinition` and `SwathDefinition` classes.\n\nPyresample offers multiple resampling algorithms including:\n\n- Nearest Neighbor\n- Elliptical Weighted Average (EWA)\n- Bilinear\n\nFor nearest neighbor and bilinear interpolation pyresample uses a kd-tree\napproach by using the fast KDTree implementation provided by the \n[pykdtree](https://github.com/storpipfugl/pykdtree) library.\nPyresample works with numpy arrays and numpy masked arrays. Interfaces to\nXArray objects (including dask array support) are provided in separate\nResampler class interfaces and are in active development.\nUtility functions are available to easily plot data using Cartopy.\n\nPyresample is tested with Python 2.7 and 3.6, but should additionally work\non Python 3.4+. Pyresample will drop Python 2.7 at the end of 2019.\n\n[Documentation](https://pyresample.readthedocs.org/en/latest/)\n\nSee [pytroll.github.io](http://pytroll.github.io/) for more information on the\nPyTroll group and related packages.",
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